Exploration and Incentives in Reinforcement Learning.
Max SimchowitzAleksandrs SlivkinsPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- exploration exploitation
- model based reinforcement learning
- autonomous learning
- exploration exploitation tradeoff
- function approximation
- reinforcement learning algorithms
- balancing exploration and exploitation
- multi agent
- model free
- relevance feedback
- state space
- active learning
- learning problems
- learning algorithm
- robotic control
- policy search
- optimal control
- markov decision processes
- transfer learning
- monte carlo
- least squares
- hidden markov models
- machine learning
- partially observable
- learning capabilities
- multi agent reinforcement learning
- data mining
- learning process